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  • Computational Historical Linguistics

    Author(s):
    Johann-Mattis List (see profile)
    Date:
    2023
    Group(s):
    Classical Philology and Linguistics, Digital Humanists, History of Linguistics and Language Study, Linguistics
    Subject(s):
    Computational linguistics, Historical linguistics, Historical linguistics--Mathematical models
    Item Type:
    Lecture
    Tag(s):
    computational linguistics, historical linguistics, computer-assisted language comparison, introduction, lecture
    Permanent URL:
    https://doi.org/10.17613/5h5e-bq94
    Abstract:
    In the course, I give a basic introduction into some of the recent developments in the field of computational historical linguistics. While this field is predominantly represented by phylogenetic approaches with whom scholars try to infer phylogenetic trees from different kinds of language data, the approach taken here is much broader, concentrating specifically on the prerequisites needed in order to get one’s data into the shape to carry out phylogenetic analyses. As a result, we will concentrate on topics such as automated phonetic alignments, automated cognate detection, the handling of semantic shift, and the modeling of word formation in comparative wordlists. A major goal of the course is to emphasize the importance of computer-assisted — as opposed to computer-based — approaches, which acknowledge the importance of qualitative work in historical language comparison. The course will be accompanied by code examples which participants can try to replicate on their computers.
    Notes:
    The lecture is conducted as part of the LOT Winter School in January 2023 (Amsterdam).
    Metadata:
    xml
    Status:
    Published
    Last Updated:
    2 months ago
    License:
    Attribution-NonCommercial-ShareAlike

    Downloads

    Item Name: pdf list-2023-lot-amsterdam-computational-historical-linguistics.pdf
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    Activity: Downloads: 142

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